Muhao Chen

Orcid: 0000-0003-0118-3147

According to our database1, Muhao Chen authored at least 172 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models.
CoRR, 2024

Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges.
CoRR, 2024

FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists.
CoRR, 2024

Familiarity-aware Evidence Compression for Retrieval Augmented Generation.
CoRR, 2024

Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks.
CoRR, 2024

CLIMB: A Benchmark of Clinical Bias in Large Language Models.
CoRR, 2024

Securing Multi-turn Conversational Language Models Against Distributed Backdoor Triggers.
CoRR, 2024

From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning.
CoRR, 2024

mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
CoRR, 2024

FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation.
CoRR, 2024

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
CoRR, 2024

Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing.
CoRR, 2024

Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Characte.
CoRR, 2024

Red Teaming Language Models for Contradictory Dialogues.
CoRR, 2024

Offset Unlearning for Large Language Models.
CoRR, 2024

Planning and Editing What You Retrieve for Enhanced Tool Learning.
CoRR, 2024

AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting.
CoRR, 2024

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR, 2024

Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment.
CoRR, 2024

Privacy-Preserving Language Model Inference with Instance Obfuscation.
CoRR, 2024

DeepEdit: Knowledge Editing as Decoding with Constraints.
CoRR, 2024

Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Instructional Fingerprinting of Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

From Shortcuts to Triggers: Backdoor Defense with Denoised PoE.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Planning and Editing What You Retrieve for Enhanced Tool Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Rethinking Tabular Data Understanding with Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Red Teaming Language Models for Processing Contradictory Dialogues.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Are Large Language Models Capable of Generating Human-Level Narratives?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Monotonic Paraphrasing Improves Generalization of Language Model Prompting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On-the-fly Denoising for Data Augmentation in Natural Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Contrastive Instruction Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations.
CoRR, 2023

Deceiving Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?
CoRR, 2023

On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models.
CoRR, 2023

DOMINO: A Dual-System for Multi-step Visual Language Reasoning.
CoRR, 2023

Preconditioned Visual Language Inference with Weak Supervision.
CoRR, 2023

Adversarial Demonstration Attacks on Large Language Models.
CoRR, 2023

From Shortcuts to Triggers: Backdoor Defense with Denoised PoE.
CoRR, 2023

Knowledge-Based Version Incompatibility Detection for Deep Learning.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Software Entity Recognition with Noise-Robust Learning.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer.
Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Automated Summarization of Stack Overflow Posts.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Context-faithful Prompting for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dense Retrieval as Indirect Supervision for Large-space Decision Making.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Causal View of Entity Bias in (Large) Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Primacy Effect of ChatGPT.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

VIPHY: Probing "Visible" Physical Commonsense Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Affective and Dynamic Beam Search for Story Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Parameter-Efficient Tuning with Special Token Adaptation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

How Fragile is Relation Extraction under Entity Replacements?
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Detecting Semantic Errors in Tables using Textual Evidence.
Proceedings of the IEEE International Conference on Big Data, 2023

Indirectly Supervised Natural Language Processing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Robust Natural Language Understanding with Residual Attention Debiasing.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multi-hop Evidence Retrieval for Cross-document Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Contrastive Bootstrapping for Label Refinement.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022
Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference.
Trans. Assoc. Comput. Linguistics, 2022

TsgFEM: Tensegrity Finite Element Method.
J. Open Source Softw., 2022

AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences.
J. Biomed. Informatics, 2022

Are All Steps Equally Important? Benchmarking Essentiality Detection of Events.
CoRR, 2022

An extended ordinary state-based peridynamics for non-spherical horizons.
CoRR, 2022

Design and control analysis of a deployable clustered hyperbolic paraboloid cable net.
CoRR, 2022

Equilibrium and stiffness study of clustered tensegrity structures with the consideration of pulley sizes.
CoRR, 2022

Answer Consolidation: Formulation and Benchmarking.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Dangling-Aware Entity Alignment with Mixed High-Order Proximities.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Unified Semantic Typing with Meaningful Label Inference.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SOSum: A Dataset of Stack Overflow Post Summaries.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

An Improved Baseline for Sentence-level Relation Extraction.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

PInKS: Preconditioned Commonsense Inference with Minimal Supervision.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Contextualized Scene Imagination for Generative Commonsense Reasoning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Sharpness-Aware Minimization with Dynamic Reweighting.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Salience Allocation as Guidance for Abstractive Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PaCo: Preconditions Attributed to Commonsense Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Summarization as Indirect Supervision for Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces.
Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

Prix-LM: Pretraining for Multilingual Knowledge Base Construction.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
δ-SAM: Sharpness-Aware Minimization with Dynamic Reweighting.
CoRR, 2021

Structure-Aware Label Smoothing for Graph Neural Networks.
CoRR, 2021

Dynamics and control of clustered tensegrity systems.
CoRR, 2021

Design and analysis of deployable clustered tensegrity cable domes.
CoRR, 2021

DREAMS: Drilling and Extraction Automated System.
CoRR, 2021

Tensegrity system dynamics based on finite element method.
CoRR, 2021

Contrastive Out-of-Distribution Detection for Pretrained Transformers.
CoRR, 2021

CoreQuisite: Circumstantial Preconditions of Common Sense Knowledge.
CoRR, 2021

JEDI: circular RNA prediction based on junction encoders and deep interaction among splice sites.
Bioinform., 2021

Retrieving Complex Tables with Multi-Granular Graph Representation Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

From Tables to Knowledge: Recent Advances in Table Understanding.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning from Noisy Labels for Entity-Centric Information Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Contrastive Out-of-Distribution Detection for Pretrained Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Salience-Aware Event Chain Modeling for Narrative Understanding.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning Constraints and Descriptive Segmentation for Subevent Detection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Table-based Fact Verification With Salience-aware Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Cross-lingual Entity Alignment with Incidental Supervision.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Do Language Models Perform Generalizable Commonsense Inference?
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Knowing the No-match: Entity Alignment with Dangling Cases.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Visual Pivoting for (Unsupervised) Entity Alignment.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Gyroscopic Tensegrity Robots.
IEEE Robotics Autom. Lett., 2020

A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs.
Proc. VLDB Endow., 2020

Markov Data-Based Reference Tracking of Tensegrity Morphing Airfoils.
CoRR, 2020

Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text.
CoRR, 2020

Analogous Process Structure Induction for Sub-event Sequence Prediction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Joint Constrained Learning for Event-Event Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Knowledge Association with Hyperbolic Knowledge Graph Embeddings.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis.
Proceedings of the Advances in Information Retrieval, 2020

What Are You Trying to Do? Semantic Typing of Event Processes.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events.
Proceedings of the Artificial Intelligence in Medicine, 2020

Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-relational Representation Learning and Knowledge Acquisition.
PhD thesis, 2019

MOTES: Modeling of Tensegrity Structures.
J. Open Source Softw., 2019

Multifaceted protein-protein interaction prediction based on Siamese residual RCNN.
Bioinform., 2019

Embedding Edge-attributed Relational Hierarchies.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

TransEdge: Translating Relation-Contextualized Embeddings for Knowledge Graphs.
Proceedings of the Semantic Web - ISWC 2019, 2019

Learning Bilingual Word Embeddings Using Lexical Definitions.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Multi-view Knowledge Graph Embedding for Entity Alignment.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Computational Analysis of French Reborrowing Process for English Loanwords.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Towards Efficient Cellular Traffic Offloading via Dynamic MPTCP Path Configuration with SDN.
Proceedings of the International Conference on Computing, Networking and Communications, 2019

Examining Gender Bias in Languages with Grammatical Gender.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Retrofitting Contextualized Word Embeddings with Paraphrases.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Social Relation Inference via Label Propagation.
Proceedings of the Advances in Information Retrieval, 2019

Learning to Represent Bilingual Dictionaries.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Fast and Accurate Network Embeddings via Very Sparse Random Projection.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Embedding Uncertain Knowledge Graphs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
User-friendly temporal queries on historical knowledge bases.
Inf. Comput., 2018

On2Vec: Embedding-based Relation Prediction for Ontology Population.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Neural Article Pair Modeling for Wikipedia Sub-article Matching.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Towards Opportunistic Resource Sharing in Mobile Social Networks: an Evolutionary Game Theoretic Approach.
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018

Demand-driven Cache Allocation Based on Context-aware Collaborative Filtering.
Proceedings of the Nineteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2018

Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Quantification and Analysis of Scientific Language Variation Across Research Fields.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Enhanced Network Embeddings via Exploiting Edge Labels.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Attention-Based Natural Language Person Retrieval.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Multi-graph Affinity Embeddings for Multilingual Knowledge Graphs.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017

2016
Multi-lingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment.
CoRR, 2016

Converting spatiotemporal data among multiple granularity systems.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Converting spatiotemporal data Among heterogeneous granularity systems.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
SPARQLT and its User-Friendly Interface for Managing and Querying the History of RDF Knowledge Bases.
Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), 2015


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